Corporate Amazon DynamoDB Training Course

Name: Amazon DynamoDB Training
Availability: InStock

Edstellar’s Amazon DynamoDB instructor-led training course equips professionals with skills to manage the NoSQL database service provided by AWS. Professionals will learn to design efficient database schemas and implement DynamoDB tables and indexes. Upskill your team to integrate DynamoDB with other AWS services for enhanced functionality.

Duration

16 - 24 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Amazon DynamoDB Corporate Training

Amazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS). It offers high availability, scalability, and low-latency performance, making it suitable for applications that require fast and predictable performance at any scale. Organizations often adopt Amazon DynamoDB to efficiently store and retrieve large volumes of data, handle unpredictable workloads, and build responsive applications with minimal operational overhead. Training in Amazon DynamoDB provides professionals with the knowledge and skills necessary to effectively design, implement, and manage DynamoDB databases, enabling them to leverage its capabilities for robust and scalable data management solutions.

Edstellar's virtual/onsite Amazon DynamoDB training course offers customization and employs cutting-edge methodologies. Our trainers are known for their expertise in Amazon DynamoDB instructor-led training course and have vast experience guiding teams through the complexities of database management, data analysis, and performance optimization.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Skills Your Employees Will Gain

Amazon DynamoDB skills corporate training will enable teams to effectively apply their learnings at work.

Database Design
Database Design is the process of structuring data to optimize storage, retrieval, and management. This skill is important for roles like database administrators and developers, ensuring efficient data handling and integrity.
Data Modeling
Data Modeling is the process of creating visual representations of data structures and relationships. This skill is important for data analysts and database developers to ensure accurate data management and analysis.
Query Optimization
Query Optimization is the process of improving database query performance by refining SQL statements. This skill is important for database administrators and data analysts to ensure efficient data retrieval, reduce load times, and enhance overall system performance.
DynamoDB Operations
DynamoDB Operations involve managing and optimizing Amazon's NoSQL database service. This skill is important for developers and data engineers to ensure efficient data handling and scalability.
Data Partitioning
Data Partitioning is the process of dividing large datasets into smaller, manageable segments. this skill is important for data engineers and analysts to optimize performance, enhance query efficiency, and improve data management in big data environments.
Indexing Strategies
Indexing Strategies involve organizing data for efficient retrieval, crucial for roles like database administrators and data analysts. This skill is important for optimizing query performance and enhancing data accessibility.

What Your Team Will Achieve After This Training

Design and execute DynamoDB operations using AWS SDKs
Utilize DynamoDB features like DAX for in-memory acceleration
Define DynamoDB data modeling strategies for diverse use cases
Develop efficient DynamoDB queries and data manipulation techniques
Implement DynamoDB tables and indexes to optimize query performance
Assess and improve DynamoDB performance through monitoring and troubleshooting

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

What is Amazon DynamoDB?

Overview of NoSQL databases
- Understanding key-value and document databases
- Scalability and performance in NoSQL
- When to choose NoSQL over SQL
Introduction to DynamoDB features and benefits
- High availability and durability of DynamoDB
- Serverless nature and automatic scaling
- DynamoDB Streams for real-time data processing
- Fine-grained access control with AWS IAM
Comparison with traditional SQL databases
- Schema flexibility in DynamoDB vs. SQL
- Performance differences at scale
- Operational complexity and management
Use cases and applications of DynamoDB
- Building scalable web applications
- Session storage for large-scale applications
- Mobile backends using DynamoDB
- Real-time analytics and big data processing

Getting Started with DynamoDB

Creating DynamoDB tables
- Table creation process in AWS Console
- Defining table structure and key schema
- Setting up read/write capacity modes
- Using AWS CLI to create tables
- Automation with CloudFormation and Terraform
Configuring primary keys and attributes
- Understanding partition and sort keys
- Choosing the right key for your data
- Attribute types and data modeling considerations
Understanding DynamoDB data types
- Scalar types: String, Number, Binary
- Complex types: Lists, Maps
- Special types: Set types
- Choosing the right data type for your use case

Getting Started with DynamoDB and the AWS SDKs

Introduction to AWS SDKs for DynamoDB
- Overview of available AWS SDKs
- Setting up SDKs in various programming languages
- Basic SDK configuration for DynamoDB
- Common use cases for the SDK
- Documentation and resources for learning
Setting up the AWS SDK environment
- Installing and configuring the AWS SDK
- Managing credentials securely
- Environment variables and configuration files

Programming with DynamoDB

DynamoDB data manipulation operations
- Inserting data with different SDKs
- Modifying existing data and understanding write throughput
- Atomic counters and optimistic locking
Batch operations and transactions
- Using batch operations for mass data manipulation
- Understanding transactions and consistency
- Implementing atomic transactions
- Error handling and retries in transactions
Conditional writes and updates
- Syntax and usage of condition expressions
- Implementing business logic with conditional writes
- Advanced update techniques
- Optimizing conditional operations for performance

Working with DynamoDB

Querying and scanning DynamoDB tables
- Difference between query and scan operations
- Optimizing query performance with indexes
- Efficiently scanning tables without consuming excessive resources
- Filtering results to retrieve specific data
- Paginating results to handle large datasets
Indexes and advanced querying techniques
- Primary keys vs. secondary indexes
- Creating and managing global secondary indexes (GSI)
Filtering and pagination in DynamoDB queries
- Applying filters to narrow down search results
- Implementing pagination for large result sets
- Controlling response size and data transfer costs
- Strategies for effective data retrieval
Using global and local secondary indexes
- Differences and use cases for GSI and LSI
- Index creation and impact on table design
- Querying and scanning using secondary indexes
- Performance considerations for index use
- Capacity planning for indexes

In-Memory Acceleration with DAX

Introduction to Amazon DynamoDB Accelerator (DAX)
- What is DAX, and how does it work
- Benefits of using DAX for read-intensive applications
- DAX architecture and components
Implementing DAX with DynamoDB tables
- Setting up a DAX cluster
- Configuring applications to use DAX
- Data caching strategies and invalidation
- Security considerations with DAX
Configuring and managing DAX clusters
- Cluster creation and configuration options
- Scaling DAX clusters based on demand
- Updating and managing DAX software
- Best practices for cluster availability and durability
Optimizing performance with DAX caching strategies
- Understanding DAX caching mechanisms
- Cache hit ratios and performance tuning
- Cache eviction policies and their impacts
- Caching query results with DAX
- Advanced techniques for cache invalidation and refresh

Data Modeling

Strategies for data modeling in DynamoDB
- Single-table design vs. multi-table designs
- Data access patterns and their influence on modeling
- Denormalization and composite keys for performance
Designing efficient DynamoDB schemas
- Identifying key attributes and indexes early
- Schema evolution and versioning data
- Handling sparse indexes and null values
- Capacity planning and cost estimation
Understanding partition keys and sort keys
- How do partition keys affect data distribution
- Choosing partition keys for scalability and performance
- Using sort keys to organize data within partitions
- Best practices for composite keys
- Common mistakes when choosing keys and how to avoid them
Best practices for modeling relationships in DynamoDB
- Strategies for one-to-many relationships
- Managing many-to-many relationships efficiently
- Using secondary indexes to model relationships

Monitoring and Troubleshooting

DynamoDB monitoring tools and metrics
- Using Amazon CloudWatch for DynamoDB monitoring
- Key performance indicators (KPIs) to watch
- Setting up alarms and notifications
- Analyzing read/write capacity utilization
- Log analysis with CloudWatch Logs Insights
CloudWatch alarms and notifications for DynamoDB
- Configuring alarms for provisioned throughput exceedance
- Monitoring table size and item count
- Alerts for unusual access patterns or errors

Integrating with Other AWS services

Integrating with Amazon Cognito for authentication
- Setting up Amazon Cognito for user management
- Securing DynamoDB access with Cognito identities
- Best practices for managing access tokens
- Implementing fine-grained access control
Utilizing DynamoDB with Amazon Redshift for data warehousing
- Exporting data from DynamoDB to Redshift
- ETL processes and data transformation
- Query performance considerations and optimization
- Integrating real-time and batch processing
Integrating DynamoDB with Amazon EMR for big data processing
- Setting up EMR to process DynamoDB data
- Configuring Hadoop jobs for DynamoDB data
- Best practices for data mapping and reduction
Storing data from DynamoDB in Amazon S3
- Automating data export to S3 for backups
- Using S3 as a data lake for DynamoDB information
- Implementing lifecycle policies for cost optimization
- Security and encryption best practices for stored data
- Integrating with AWS analytics services like Athena and QuickSight
Understanding DynamoDB quotas and limits
- Overview of provisioned throughput and capacity units
- Managing read/write capacity to avoid throttling
- Limits on table size, item size, and request rates
- Strategies for scaling and partitioning data effectively
Exploring DynamoDB API reference
- Key API operations for managing data and tables
- Programming examples for common API calls
- Error codes and troubleshooting API requests
- Best practices for efficient API usage

Who Should Attend?

This program suits professionals at many levels across the organization, including:

Database Administrators
Data Engineers
Cloud Developers
Application Developers
Back-end Developers
Data Architects
Software Engineers
Database Developers
Cloud Architects
Data Scientists
Full-Stack Developers
Managers

What Are the Prerequisites?

Professionals with a basic understanding of java programming and query languages can take up the Amazon DynamoDB training course.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide

Standardized content for consistent outcomes

Join from own workspace, no travel

We scale to large groups across sites

Interactive tools keep remote learners engaged

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On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office

We tailor setup/content to your workplace and tools

Group exercises drive collaboration

Live demos + hands-on practice

Direct trainer access to clarify doubts

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Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice

Built-in group activities for bonding

Full uninterrupted schedule for focus/retention

Boosts morale and signals commitment

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What Sets Edstellar Apart

Experienced Trainers

Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

Proven Quality

With a strong global track record, Edstellar is known for quality and engaging delivery.

Industry-Relevant Curriculum

Our programs are built by experts to match the demands of today's industry.

Fully Customizable

Every program can be tailored to your organization's goals.

Comprehensive Support

We provide pre- and post-session support for a complete learning experience.

Global Multi-Location & Multilingual Training Delivery

We deliver in multiple languages to support diverse global teams.

Hear from Organizations We've Trained

"Attending the Amazon DynamoDB training was transformational for my professional development. As a Senior Software Engineer, the deep dive into advanced methodologies gave me the confidence to tackle complex challenges of hands-on exercises were immediately applicable to my work. My productivity and technical capabilities have increased dramatically since applying these concepts. This course has become foundational to my continued success.”

Lisa Cunningham

Senior Software Engineer,

Technology Consulting Services Company

"This Amazon DynamoDB course equipped me with comprehensive strategic frameworks expertise that I've seamlessly integrated into our enterprise practice. The hands-on modules covering practical simulations and interactive labs were I now confidently design solutions that consistently deliver measurable business results. Our client satisfaction scores improved by 35% across all accounts, validating the immediate impact of this training program.”

Ivan Rodriguez

Senior Software Engineer,

Global Technology Solutions Provider

"As a Senior Software Engineer overseeing operational excellence initiatives, the Amazon DynamoDB training significantly elevated our team's capabilities. The course expertly covered industry best practices, real-world our operational effectiveness. We've successfully deployed these methodologies across all regional operations centers. Our department has achieved remarkable improvements, demonstrating this course's lasting organizational impact.”

Kamran Uday

Senior Software Engineer,

IT Services and Solutions Provider

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Recognition That Motivates Your Team

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

Corporate Amazon DynamoDB Training Course

Drive Team Excellence with Amazon DynamoDB Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

What is Amazon DynamoDB?

Getting Started with DynamoDB

Getting Started with DynamoDB and the AWS SDKs

Programming with DynamoDB

Working with DynamoDB

In-Memory Acceleration with DAX

Data Modeling

Monitoring and Troubleshooting

Integrating with Other AWS services

Who Should Attend?

What Are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

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